SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning.
Chunling FanHanhe LinVlad HosuYun ZhangQingshan JiangRaouf HamzaouiDietmar SaupePublished in: QoMEX (2019)
Keyphrases
- deep learning
- image compression
- unsupervised learning
- unsupervised feature learning
- machine learning
- probabilistic model
- user preferences
- deep architectures
- wavelet transform
- co occurrence
- decision support system
- pattern recognition
- segmentation algorithm
- mental models
- image processing
- restricted boltzmann machine
- information retrieval